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Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania". Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered. This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage. From...
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Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania". Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered. This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage. From...
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The U.S. Geological Survey Precipitation-Runoff Modeling System (PRMS) was used to assess the effects of changing climate and land disturbance on seasonal streamflow in the Rio Grande Headwaters (RGHW) region. Three applications of PRMS in the RGHW were used to simulate 1) baseline effects of climate (see RGHW-PRMS_baseline_simulation.zip), 2) effects of bark-beetle induced tree mortality (see RGHW-PRMS_BB_simulation.zip), and 3) effects of wildfire (see RGHW-PRMS_fire_simulation.zip), on components of the hydrologic cycle by hydrologic response unit (HRU) and subsequent seasonal streamflow runoff from April through September for water years 1980 through 2017. Select PRMS output variables for each simulation are...
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Our objective was to model 7-day minimum flow (mean of the annual minimums of a 7-day moving average for each year [cubic feet per second]) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between 7-day minimum flow on gaged streams (115 gages) and environmental variables. We then projected 7-day minimum...
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Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania". Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered. This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage. From...
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This data release contains inputs for and outputs from hydrologic simulations of the Upper Rio Hondo Subbasin, New Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data for the entire Upper Rio Hondo Subbasin were developed, but output data only from the North Fork Eagle Creek subwatershed were used. Input data include parameter files for two PRMS models calibrated to prefire conditions and postfire conditions. Synthetic flow data used to calibrate PRMS for prefire conditions and postfire conditions are also included. Output data include output variable files for four PRMS models: two calibrated models (one for prefire conditions and one for postfire conditions) and two models used for scenarios...
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This data set archives all inputs, outputs and scripts needed to reproduce the findings of W.H. Farmer and S. Levin in the 2017 Journal of the American Water Resources Association article entitled “Characterizing Uncertainty in Daily Streamflow Estimates at Ungauged Locations in Support of the Massachusetts Sustainable Yield Estimator”. Input data includes observed streamflow values, in cubic feet per second, for 66 streamgages in and around Massachusetts from 01 October 1960 through 30 September 2004. Cross-validated streamflows, in cubic feet per second, and estimated correlations are included for all basin pairs as archived by Archfield et al. (2010; USGS SIR 2009–5227). Comma-separated-values files contain output...
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Our objective was to model 7-day minimum flow (mean of the annual minimums of a 7-day moving average for each year [cubic feet per second]) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between 7-day minimum flow on gaged streams (115 gages) and environmental variables. We then projected 7-day minimum...
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Our objective was to model frequency of low-pulse events on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between frequency of low-pulse events on gaged streams (115 gages) and environmental variables. We then projected frequency of low-pulse events to ungaged reaches in the Upper Colorado River Basin...
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Fish in Northern Great Plains streams evolved to survive heat, cold, floods and drought; however changes in streamflow associated with long-term climate change may render some prairie streams uninhabitable for current fish species. To better understand future hydrology of these prairie streams, the Precipitation-Runoff Modeling System (PRMS) model and output from the RegCM3 Regional Climate model were used to simulate streamflows for seven watersheds in eastern and central Montana, for a baseline period (water years 1982 - 1999) and three future periods: water years 2021 -2038, 2046 - 2063, and 2071 - 2088. These PRMS model input and output data are intended to accompany a journal article (Chase et al., 2016); they...
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Modeling streamflow is an important approach for understanding landscape-scale drivers of flow and estimating flows where there are no streamgage records. In this study conducted by the U.S. Geological Survey in cooperation with Colorado State University, the objectives were to model streamflow metrics on small, ungaged streams in the Upper Colorado River Basin and identify streams that are potentially threatened with becoming intermittent under drier climate conditions. The Upper Colorado River Basin is a region that is critical for water resources and also projected to experience large future climate shifts toward a drying climate. A random forest modeling approach was used to model the relationship between streamflow...
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Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania". Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered. This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage. From...
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Three separate hydrologic models were used to simulate storm runoff in the Hahn Arroyo Watershed, an urbanized watershed with concrete lined channels in the northeastern quadrant of Albuquerque, New Mexico that exhibits flashy, monsoonal-driven, storm runoff events. This data release contains the input and output files associated with the hydrologic simulations of each of the following models: Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS), Program for Predicting Polluting Particle Passage through Pits, Puddles and Ponds (P8), and Arid-Lands Hydrologic Model (AHYMO). The study was designed to compare three existing rainfall-runoff modeling software packages to determine which provided the best...
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This child page contains the Arid-Lands Hydrologic Model (AHYMO) input and output data used in the model validation process during the validation period of the study described in the associated Scientific Investigations Report "Comparison of Storm Runoff Models for a Small Watershed in an Urban Metropolitan Area, Albuquerque, New Mexico" (Shephard and Douglas-Mankin, 2020). This model was used to simulate storm runoff in the Hahn Arroyo Watershed, an urbanized watershed with concrete lined channels in the northeastern quadrant of Albuquerque that exhibits flashy, monsoonal-driven storm runoff events. The model is described in detail in the associated SIR.
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This data release contains input and output data from hydrologic simulations of naturalized or near-native streamflow conditions in the Upper Rio Grande Basin (URGB) in Colorado, New Mexico, Texas, and northern Mexico by using the Precipitation-Runoff Modeling System (PRMS). The Upper Rio Grande Basin PRMS model was calibrated in a three step process by (1) calibrating solar radiation and potential evapotranspiration parameters by subarea for hydrologic response units (HRU) in the model domain, (2) calibrating streamflow parameters in nine subbasins identified to be “near-native” subbasins, or basins with low anthropogenic disturbance, and (3) distributing calibrated parameters from near-native subbasins to uncalibrated...
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The upper Chattahoochee River Basin in northeast Georgia was modeled to produce seven example simulations of streamflow for demonstration of enhancements to the Precipitation Runoff Modeling System (PRMS). These data document the PRMS parameter files and input data files used in each of these simulations. Input files for the following simulations are included: 1) a baseline simulation of the existing model (includes HRU summary and basin variables output modules, and updates to depression storage), 2) a simulation using the dynamic parameters enhancement, 3) a simulation that generates an initial conditions file, 4) a simulation that uses a previously generated initial conditions file, 5) a simulation that uses...
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The hydrologic response units (HRUs) available here are for seven applications of the Precipitation Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin (ACFB) by LaFontaine and others (2017). Geographic Information System (GIS) files for the HRUs in each of the seven model applications (whole ACFB, Chestatee River, Chipola River, Ichawaynochaway Creek, Potato Creek, Spring Creek, and Upper Chattahoochee River) are provided as shapefiles with attributes identifying the numbering convention used in the PRMS models of the ACFB.
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This data release contains inputs for and outputs from hydrologic simulations of the southeastern U.S. using the Monthly Water Balance Model, the Precipitation Runoff Modeling System (PRMS), and statistically-based methods. These simulations were developed to provide estimates of water availability and statistics of streamflow for historical and potential future conditions for an area of approximately 1.16 million square miles. These model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (LaFontaine and others, 2019); they include four types of data: 1) model input parameters, 2) model output statistics, 3) GIS files of the model hydrologic response units...
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Our objective was to model intermittency (perennial, weakly intermittent, or strongly intermittent) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate.We used a random forest modeling approach to model the relation between intermittency on gaged streams (115 gages) and environmental variables. We then projected intermittency status to ungaged reaches in the Upper Colorado...
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Our objective was to model minimum flow coefficient of variation (CV) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between minimum flow CV (the standard deviation of annual minimum flows times 100 divided by the mean of annual minimum flows) on gaged streams (115 gages) and environmental variables....


map background search result map search result map Potential Effects of Climate Change on Streamflow in Eastern and Central Montana (2013-2014 Analyses) - PRMS Model Input and Output Modeled Streamflow Metrics on Small, Ungaged Stream Reaches in the Upper Colorado River Basin: Data Predicted frequency of low-flow pulse events for small streams in the Upper Colorado River Basin under historic hydrologic conditions. Predicted 7-day minimum flow of small streams in the Upper Colorado River Basin based on historic flow data Predicted intermittency Predicted minimum flow coefficient of variation Predicted 7-day minimum flow Precipitation Runoff Modeling System Input Data for Hydrologic Simulations of the Upper Chattahoochee River Basin in Northeast Georgia, United States Hydrologic Response Units Used with the Precipitation Runoff Modeling System for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin in the southeastern U.S. Characterizing uncertainty in daily streamflow estimates at ungauged locations in support of the Massachusetts Sustainable Yield Estimator: Data release Model Input and Output for Hydrologic Simulations of the Southeastern United States for Historical and Future Conditions Model input and output for prefire and postfire hydrologic simulations in the Upper Rio Hondo Basin, New Mexico using the Precipitation-Runoff Modeling System (PRMS) Estimation Site 03072890; Spreadsheets and Metadata Estimation Site 03111675; Spreadsheets and Metadata Estimation Site 03111705; Spreadsheets and Metadata Estimation Site 03114094; Spreadsheets and Metadata Model output from Precipitation-Runoff Modeling System simulations in the Rio Grande Headwaters, Colorado, for water years 1980 through 2017 Input and Output Data for the Application of the Precipitation-Runoff Modeling System (PRMS) to Simulate Near-Native Streamflow in the Upper Rio Grande Basin Input and Output Data used to Compare Storm Runoff Models for a Small Watershed in an Urban Metropolitan Area, Albuquerque, New Mexico AHYMO Validation Period Input and Output Data Input and Output Data used to Compare Storm Runoff Models for a Small Watershed in an Urban Metropolitan Area, Albuquerque, New Mexico AHYMO Validation Period Input and Output Data Model input and output for prefire and postfire hydrologic simulations in the Upper Rio Hondo Basin, New Mexico using the Precipitation-Runoff Modeling System (PRMS) Model output from Precipitation-Runoff Modeling System simulations in the Rio Grande Headwaters, Colorado, for water years 1980 through 2017 Precipitation Runoff Modeling System Input Data for Hydrologic Simulations of the Upper Chattahoochee River Basin in Northeast Georgia, United States Estimation Site 03072890; Spreadsheets and Metadata Estimation Site 03111675; Spreadsheets and Metadata Estimation Site 03111705; Spreadsheets and Metadata Estimation Site 03114094; Spreadsheets and Metadata Characterizing uncertainty in daily streamflow estimates at ungauged locations in support of the Massachusetts Sustainable Yield Estimator: Data release Hydrologic Response Units Used with the Precipitation Runoff Modeling System for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin in the southeastern U.S. Potential Effects of Climate Change on Streamflow in Eastern and Central Montana (2013-2014 Analyses) - PRMS Model Input and Output Input and Output Data for the Application of the Precipitation-Runoff Modeling System (PRMS) to Simulate Near-Native Streamflow in the Upper Rio Grande Basin Predicted intermittency Predicted minimum flow coefficient of variation Predicted 7-day minimum flow Predicted frequency of low-flow pulse events for small streams in the Upper Colorado River Basin under historic hydrologic conditions. Predicted 7-day minimum flow of small streams in the Upper Colorado River Basin based on historic flow data Modeled Streamflow Metrics on Small, Ungaged Stream Reaches in the Upper Colorado River Basin: Data Model Input and Output for Hydrologic Simulations of the Southeastern United States for Historical and Future Conditions